GarciaGao's Stars
yhlleo/DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
yhlleo/DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
priya-dwivedi/Deep-Learning
CCNYRoboticsLab/concreteIn_inpection_VGGF
Concrete Crack and Spalling Detection using Deep Neural Network
khanhha/crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
mo26-web/Surface-Crack-Detection-with-DL
This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, MobileNetV2, ...). Use Surface Crack Detection dataset available on kaggle.
arthurflor23/surface-crack-detection
Deep Learning Model for Crack Detection and Segmentation
DrMahdiRezaei/Deep-CAPTCHA
This project aims at predicting and solving alphanumeric CAPTCHAs, using Convolutional Neural Network to detect the vulnerability of the CAPTCHAs against hacking operations by bots which try to imitate a human operator.